⚡ ETH vs HYPE
Live side-by-side signal comparison · Updated every 60 seconds
Compare ETH and HYPE trading signals in real time. This page aggregates orderbook imbalance, funding rates, basis spreads, momentum, and gas data from Hyperliquid perpetual markets into composite scores for each asset, helping you identify which asset currently shows stronger directional conviction.
ETH
| Component | Score | Raw |
|---|---|---|
| Imbalance | -0.121 | 0.4396 |
| Funding | +0.063 | -6.25e-06 |
| Basis | +1.000 | -68.37 |
| Momentum | -0.002 | -0.0043 |
| Gas | +0.300 | 1.0626 |
HYPE
| Component | Score | Raw |
|---|---|---|
| Imbalance | -0.014 | 0.4928 |
| Funding | -0.125 | 1.25e-05 |
| Basis | -1.000 | 136.88 |
| Momentum | -0.059 | -0.1184 |
| Gas | +0.300 | 1.0626 |
Orderbook Imbalance — 24h History
This chart shows the orderbook imbalance signal (ETH in blue, HYPE in amber) over the past 24 hours. Positive values indicate buy-side pressure; negative values indicate sell-side pressure. Divergences between the two assets often precede relative-value trading opportunities.
How to Read This Comparison
Each column shows the live composite trading signal for ETH and HYPE, broken down by five components: orderbook imbalance, perpetual funding rate, basis spread, short-term momentum, and on-chain gas activity. The composite score ranges from −1 (strong sell) to +1 (strong buy). Regime labels (risk-on, risk-off, neutral) reflect the current market structure classification. Realized volatility (RV 24h) measures the annualized standard deviation of returns over the past 24 hours.
Frequently Asked Questions
What does the composite score mean for ETH vs HYPE?
The composite score combines five real-time market signals into a single number between −1 and +1. A higher score for ETH relative to HYPE suggests stronger buy-side conditions for ETH. The score is recalculated every 60 seconds using live orderbook, funding, and volatility data from Hyperliquid and major centralized exchanges.
How often is this comparison updated?
All data on this page refreshes automatically every 60 seconds. The orderbook imbalance chart shows a rolling 24-hour window with up to 300 data points per asset. Historical data is available via the Algo Tick API for backtesting and programmatic analysis.
Can I use this data in my trading bot?
Yes. Every metric shown on this page is available through the Algo Tick REST API and WebSocket feed. The composite signal, individual components, and orderbook imbalance history can be queried programmatically. See the API documentation for endpoints and rate limits.
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